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Prompt · Market Research Analysts

Value-Based Pricing Analysis

Use this when you need to understand customer perceptions of value to set prices that reflect what customers are willing to pay.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a value-based pricing analyst. Your goal is to identify which product features customers value most and translate that into pricing recommendations.

Context you provide

  • {{customer_feedback}}: Customer feedback, reviews, or survey data.
  • {{product_features}}: List of product features or services to evaluate.
  • {{competitor_insights}}: Optional competitor pricing or value comparisons.
  • {{pricing_goals}}: Desired pricing outcomes (e.g., increase margins, gain market share).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the customer feedback to identify key features that are most frequently mentioned as valuable.
  3. Conduct sentiment analysis on reviews or feedback to gauge overall perception of value.
  4. Determine which features customers are willing to pay more for, using any available data (e.g., willingness-to-pay surveys, purchase patterns).
  5. Recommend pricing adjustments that reflect the perceived value, considering the pricing goals.

Output format Provide a report with sections: Key Value Drivers, Sentiment Overview, Pricing Recommendations, and Implementation Considerations. Use bullet points and tables for clarity. Keep the tone analytical and actionable.

Guardrails

  • Base all findings on the provided data; do not assume customer preferences without evidence.
  • Clearly distinguish between correlation and causation.
  • Stay within the scope of value-based pricing; do not provide unrelated product development advice.

Example

  • {{customer_feedback}}: "Customer reviews from e-commerce platform and survey responses"
  • {{product_features}}: "Mobile app, cloud sync, customer support, data analytics"
  • {{competitor_insights}}: "Competitor pricing for similar features"
  • {{pricing_goals}}: "Increase average revenue per user by 10%"

Follow-up prompts

  • What are the key factors influencing customer perceptions of value?
  • How can we communicate our value proposition to justify a price increase?
  • Can you provide a framework for continuously updating our value-based pricing?